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Keras code and weights files for popular deep learning models.

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Hi, I would like to optimize the metric **AUC with R keras API**, it's possible? the best way will be: > model %>% compile( loss = 'categorical_crossentropy', optimizer = optimizer_rmsprop(),...

https://github.com/fchollet/deep-learning-models/blob/master/resnet50.py#L119 where is this defined? can you show me please? as I read the paper, the h(x) should be original input, or 1x1 conv output, if it is BatchNormed, will...

@fchollet @joeyhng When I use the pretrained vgg16 model(vgg16_weights_tf_dim_ordering_tf_kernels), Which way should I according to preprocess input? Tf(range is -1,1) or caffe(convert to bgr and zero-center)? Keras2.1.2 tf backend The...

I tried a keras squeezenet 1.1 model from https://github.com/wohlert/keras-squeezenet and it only took a small mod to fix the _obtain_input_shape import and call (details in their issues) to be compatible...

I was trying to use Xception model for fine-tuning and came across this error. **How to reproduce this error?** 1. In `xception.py` file, just change ```model.load_weights(weights_path)``` to `model.load_weights(weights_path, by_name=True)` and...

I see in line 299 the following line of code. `dropout=1e-3` Usually dropout in 0,2 or 0,5 apper to me very small. Is it a bug, or voluntary set at...

The models shared are great for feature extraction, but their use for deeper fine-tuning is limited due to lack of information regarding L2 kernel regularization and Dropout. What's the reason...

Now that inception v4 pertained network weights is out. https://research.googleblog.com/2016/08/improving-inception-and-image.html Is there any plan to support loading this pretrained inception v4 model in the application folder like the one on...

when i run the vgg16.py models, i meet a problem > File "F:/RANJIEWEN/Deep_learning/keras_tflearn/VGG16.py", line 186, in model = VGG16(include_top=True, weights='imagenet') File "F:/RANJIEWEN/Deep_learning/keras_tflearn/VGG16.py", line 94, in VGG16 include_top=include_top) TypeError: _obtain_input_shape() got...

Hello, this is official SENet in caffe https://github.com/hujie-frank/SENet Do you have a schedule to release the SENet pre-train model and code in Keras? Many person included me will interest it